<?xml version="1.0" encoding="UTF-8"?><!-- generator="podbean/5.5" -->
<rss version="2.0"
     xmlns:content="http://purl.org/rss/1.0/modules/content/"
     xmlns:atom="http://www.w3.org/2005/Atom"
     xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
     xmlns:spotify="http://www.spotify.com/ns/rss"
     xmlns:podcast="https://podcastindex.org/namespace/1.0"
    xmlns:media="http://search.yahoo.com/mrss/">

<channel>
    <title>The Ture Signal’s Podcast</title>
    <atom:link href="https://feed.podbean.com/TureSignal/feed.xml" rel="self" type="application/rss+xml"/>
    <link>https://TureSignal.podbean.com</link>
    <description><![CDATA[<p><strong><span>The TureSignal’s Podcast – Explore Technology, Discover Innovation</span></strong></p>
<p><span>Welcome to The TureSignal’s Podcast, your destination for exploring the latest in technology, digital innovation, artificial intelligence, software, cybersecurity, and the future of the digital world.</span></p>
<p><span>We bring you insightful discussions, trending tech topics, expert perspectives, and fresh ideas to help you stay informed and ahead in the ever-evolving world of technology.</span></p>
<p><span>Whether you're a tech enthusiast, digital creator, entrepreneur, or curious learner, The TureSignal’s Podcast keeps you connected to what's next.</span></p>
<p><strong><span>Listen, Learn, Explore &amp; Stay Ahead with Ture Signal Technology.</span></strong></p>]]></description>
    <pubDate>Sat, 07 Nov 2026 19:19:43 -0800</pubDate>
    <generator>https://podbean.com/?v=5.5</generator>
    <language>en</language>
        <copyright>Copyright 2026 All rights reserved.</copyright>
    <category>Technology</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
<itunes:category text="Technology" />
<itunes:category text="Science" />
<itunes:category text="Education" />
    <itunes:owner>
        <itunes:name>TureSignal’s Team</itunes:name>
            </itunes:owner>
    	<itunes:block>No</itunes:block>
	<itunes:explicit>false</itunes:explicit>
	<itunes:new-feed-url>https://feed.podbean.com/TureSignal/feed.xml</itunes:new-feed-url>
    <itunes:image href="https://pbcdn1.podbean.com/imglogo/image-logo/22988974/TureSignals_Podcast_Logo_1400x1400.png" />
    <image>
        <url>https://pbcdn1.podbean.com/imglogo/image-logo/22988974/TureSignals_Podcast_Logo_1400x1400.png</url>
        <title>The Ture Signal’s Podcast</title>
        <link>https://TureSignal.podbean.com</link>
        <width>144</width>
        <height>144</height>
    </image>
    <item>
        <title>Isolating True Signal in Enterprise AI</title>
        <itunes:title>Isolating True Signal in Enterprise AI</itunes:title>
        <link>https://TureSignal.podbean.com/e/isolating-true-signal-in-enterprise-ai/</link>
                    <comments>https://TureSignal.podbean.com/e/isolating-true-signal-in-enterprise-ai/#comments</comments>        <pubDate>Sat, 07 Nov 2026 19:19:43 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/4dcfe827-1f31-3915-b3da-e7cfa102dfce</guid>
                                    <description><![CDATA[<p>Investigating unified AI infrastructure platforms like StackYak and Nth AI, demonstrating how enterprises construct self-managing context and private compute fabric to power autonomous AI agents.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Investigating unified AI infrastructure platforms like StackYak and Nth AI, demonstrating how enterprises construct self-managing context and private compute fabric to power autonomous AI agents.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/63vfvu9bbf4b8xtv/Isolating_True_Signal_in_Enterprise_AI.mp3" length="23288409" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Investigating unified AI infrastructure platforms like StackYak and Nth AI, demonstrating how enterprises construct self-managing context and private compute fabric to power autonomous AI agents.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1233</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>15</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Holographic Heart Scans and Hybrid PET MRI</title>
        <itunes:title>Holographic Heart Scans and Hybrid PET MRI</itunes:title>
        <link>https://TureSignal.podbean.com/e/holographic-heart-scans-and-hybrid-pet-mri/</link>
                    <comments>https://TureSignal.podbean.com/e/holographic-heart-scans-and-hybrid-pet-mri/#comments</comments>        <pubDate>Sat, 07 Nov 2026 19:11:58 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/6ac5e46c-8772-3e42-8616-531af9a2bebd</guid>
                                    <description><![CDATA[<p>Exploring simultaneous whole-body acquisition using the Siemens Biograph mMR PET/MRI system, advanced 3D/4D motion analytics, and multi-modality visualization in oncology and neurology.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Exploring simultaneous whole-body acquisition using the Siemens Biograph mMR PET/MRI system, advanced 3D/4D motion analytics, and multi-modality visualization in oncology and neurology.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/up5ir9tnefvz2ddw/Holographic_Heart_Scans_and_Hybrid_PET_MRI.mp3" length="26849649" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Exploring simultaneous whole-body acquisition using the Siemens Biograph mMR PET/MRI system, advanced 3D/4D motion analytics, and multi-modality visualization in oncology and neurology.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1442</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>14</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How Bad Jobs Data Traps the Fed</title>
        <itunes:title>How Bad Jobs Data Traps the Fed</itunes:title>
        <link>https://TureSignal.podbean.com/e/how-bad-jobs-data-traps-the-fed/</link>
                    <comments>https://TureSignal.podbean.com/e/how-bad-jobs-data-traps-the-fed/#comments</comments>        <pubDate>Sat, 07 Nov 2026 19:04:28 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/ec377334-503f-3161-aa66-2873079ec557</guid>
                                    <description><![CDATA[<p>Insights from financial strategist Danielle DiMartino Booth on Federal Reserve policy mistakes, private debt distress in healthcare and senior living facilities, and extracting true inflation signals from market noise.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Insights from financial strategist Danielle DiMartino Booth on Federal Reserve policy mistakes, private debt distress in healthcare and senior living facilities, and extracting true inflation signals from market noise.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/j6dzixiav6xp5z53/How_Bad_Jobs_Data_Traps_the_Fed.mp3" length="20995270" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Insights from financial strategist Danielle DiMartino Booth on Federal Reserve policy mistakes, private debt distress in healthcare and senior living facilities, and extracting true inflation signals from market noise.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1312</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>13</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How Engineers Cut Radiation in CT Scans</title>
        <itunes:title>How Engineers Cut Radiation in CT Scans</itunes:title>
        <link>https://TureSignal.podbean.com/e/how-engineers-cut-radiation-in-ct-scans/</link>
                    <comments>https://TureSignal.podbean.com/e/how-engineers-cut-radiation-in-ct-scans/#comments</comments>        <pubDate>Sat, 07 Nov 2026 18:58:46 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/6ac53652-1af0-37dd-a939-e40d2ed35f8e</guid>
                                    <description><![CDATA[<p>Examining Siemens Healthineers' SAFIRE sinogram-affirmed iterative reconstruction algorithms and CARE kV real-time dose modulation technology for achieving low-dose clinical leadership without compromising image sharpness.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Examining Siemens Healthineers' SAFIRE sinogram-affirmed iterative reconstruction algorithms and CARE kV real-time dose modulation technology for achieving low-dose clinical leadership without compromising image sharpness.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/prckn8zbp3xymhdu/How_Engineers_Cut_Radiation_in_CT_Scans.mp3" length="18982797" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Examining Siemens Healthineers' SAFIRE sinogram-affirmed iterative reconstruction algorithms and CARE kV real-time dose modulation technology for achieving low-dose clinical leadership without compromising image sharpness.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1186</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>12</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How Phone Companies Bypass Ad Blockers</title>
        <itunes:title>How Phone Companies Bypass Ad Blockers</itunes:title>
        <link>https://TureSignal.podbean.com/e/how-phone-companies-bypass-ad-blockers/</link>
                    <comments>https://TureSignal.podbean.com/e/how-phone-companies-bypass-ad-blockers/#comments</comments>        <pubDate>Sat, 07 Nov 2026 18:52:17 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/251b746e-e1ec-35ee-acaf-d8230e6e5b85</guid>
                                    <description><![CDATA[
<p>Analyzing VOX Solutions' telco-native advertising suite, including Visual Messaging System (VMS), lock-screen push notifications, RCS, and WhatsApp Business API formats that operate below the browser layer to achieve zero ad fraud and high engagement.</p>
]]></description>
                                                            <content:encoded><![CDATA[
<p>Analyzing VOX Solutions' telco-native advertising suite, including Visual Messaging System (VMS), lock-screen push notifications, RCS, and WhatsApp Business API formats that operate below the browser layer to achieve zero ad fraud and high engagement.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/emtszu4czhkqnemd/How_Phone_Companies_Bypass_Ad_Blockers.mp3" length="24828388" type="audio/mpeg"/>
        <itunes:summary><![CDATA[
Analyzing VOX Solutions' telco-native advertising suite, including Visual Messaging System (VMS), lock-screen push notifications, RCS, and WhatsApp Business API formats that operate below the browser layer to achieve zero ad fraud and high engagement.
]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1320</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>11</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Healthcare Marketing, Patient Acquisition and AI Visibility</title>
        <itunes:title>Healthcare Marketing, Patient Acquisition and AI Visibility</itunes:title>
        <link>https://TureSignal.podbean.com/e/healthcare-marketing-patient-acquisition-and-ai-visibility/</link>
                    <comments>https://TureSignal.podbean.com/e/healthcare-marketing-patient-acquisition-and-ai-visibility/#comments</comments>        <pubDate>Sat, 07 Nov 2026 14:32:58 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/96e3c420-d4bd-3dcb-b17e-b17906f5ab3c</guid>
                                    <description><![CDATA[<p>A comprehensive discussion from The Performance Prescription Podcast with Target Continuum and True Signal's Dana Lampert on how healthcare organizations can overcome visibility barriers in Chat-GPT and Gemini by converting internal clinical history into verifiable Trust Records.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>A comprehensive discussion from <em>The Performance Prescription Podcast</em> with Target Continuum and True Signal's Dana Lampert on how healthcare organizations can overcome visibility barriers in Chat-GPT and Gemini by converting internal clinical history into verifiable Trust Records.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pebrq9sdhkzhnq2v/Why_Hospitals_Vanish_From_AI_Search.mp3" length="21517348" type="audio/mpeg"/>
        <itunes:summary><![CDATA[A comprehensive discussion from The Performance Prescription Podcast with Target Continuum and True Signal's Dana Lampert on how healthcare organizations can overcome visibility barriers in Chat-GPT and Gemini by converting internal clinical history into verifiable Trust Records.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1155</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>10</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Isolating True Signals from Medicine to AI</title>
        <itunes:title>Isolating True Signals from Medicine to AI</itunes:title>
        <link>https://TureSignal.podbean.com/e/isolating-true-signals-from-medicine-to-ai/</link>
                    <comments>https://TureSignal.podbean.com/e/isolating-true-signals-from-medicine-to-ai/#comments</comments>        <pubDate>Sat, 07 Nov 2026 14:13:27 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/ead60130-7bf2-361a-be51-46dfc2e1d68b</guid>
                                    <description><![CDATA[<p>Featuring ROCCO Radio interviews with VOX Solutions VP of Engineering Alan Murphy, detailing how machine learning, VOX360, CLARA intelligence, and TrueShield privacy protocols classify network traffic to eliminate Artificial Inflation Traffic (AIT) and smishing.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Featuring ROCCO Radio interviews with VOX Solutions VP of Engineering Alan Murphy, detailing how machine learning, VOX360, CLARA intelligence, and TrueShield privacy protocols classify network traffic to eliminate Artificial Inflation Traffic (AIT) and smishing.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/asz59dkekegeh9j6/Isolating_True_Signals_from_Medicine_to_AI.mp3" length="26469452" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Featuring ROCCO Radio interviews with VOX Solutions VP of Engineering Alan Murphy, detailing how machine learning, VOX360, CLARA intelligence, and TrueShield privacy protocols classify network traffic to eliminate Artificial Inflation Traffic (AIT) and smishing.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1411</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>9</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Eliminating Electronic Noise in CT Scanners</title>
        <itunes:title>Eliminating Electronic Noise in CT Scanners</itunes:title>
        <link>https://TureSignal.podbean.com/e/eliminating-electronic-noise-in-ct-scanners/</link>
                    <comments>https://TureSignal.podbean.com/e/eliminating-electronic-noise-in-ct-scanners/#comments</comments>        <pubDate>Sat, 07 Nov 2026 14:06:28 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/fd3adf59-bb1f-31ba-83b7-19760edc1d35</guid>
                                    <description><![CDATA[<p>Examining Siemens Healthineers SOMATOM X-cite CT scanner and my Exam Companion AI user guidance system, demonstrating how automated decision trees, Vectron X-ray tubes, and StellarInfinity detectors personalize patient scans and optimize dose efficiency.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Examining Siemens Healthineers SOMATOM X-cite CT scanner and my Exam Companion AI user guidance system, demonstrating how automated decision trees, Vectron X-ray tubes, and StellarInfinity detectors personalize patient scans and optimize dose efficiency.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/esikwuz4kamg6wmy/Eliminating_Electronic_Noise_in_CT_Scanners.mp3" length="23710456" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Examining Siemens Healthineers SOMATOM X-cite CT scanner and my Exam Companion AI user guidance system, demonstrating how automated decision trees, Vectron X-ray tubes, and StellarInfinity detectors personalize patient scans and optimize dose efficiency.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1262</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>8</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Why AI Search Demands Physical Evidence</title>
        <itunes:title>Why AI Search Demands Physical Evidence</itunes:title>
        <link>https://TureSignal.podbean.com/e/why-ai-search-demands-physical-evidence/</link>
                    <comments>https://TureSignal.podbean.com/e/why-ai-search-demands-physical-evidence/#comments</comments>        <pubDate>Sat, 07 Nov 2026 13:58:04 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/a8a80047-5a40-3733-aa87-f13fb7f31099</guid>
                                    <description><![CDATA[<p>A technical deep-dive with Zyppy founder Cyrus Shepard on the Near Media Podcast examining Google's four pillars of digital brand (Distinctiveness, Relevance, Reputation, Demand), zero-click synthetic modeling, and review flywheels for AI recommendations.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>A technical deep-dive with Zyppy founder Cyrus Shepard on the <em>Near Media Podcast</em> examining Google's four pillars of digital brand (Distinctiveness, Relevance, Reputation, Demand), zero-click synthetic modeling, and review flywheels for AI recommendations.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/p4q3i8syhn9e923j/Why_AI_Search_Demands_Physical_Evidence.mp3" length="26381545" type="audio/mpeg"/>
        <itunes:summary><![CDATA[A technical deep-dive with Zyppy founder Cyrus Shepard on the Near Media Podcast examining Google's four pillars of digital brand (Distinctiveness, Relevance, Reputation, Demand), zero-click synthetic modeling, and review flywheels for AI recommendations.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1401</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Engineering Websites for AI Agents</title>
        <itunes:title>Engineering Websites for AI Agents</itunes:title>
        <link>https://TureSignal.podbean.com/e/engineering-websites-for-ai-agents/</link>
                    <comments>https://TureSignal.podbean.com/e/engineering-websites-for-ai-agents/#comments</comments>        <pubDate>Sat, 07 Nov 2026 13:50:52 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/0348785f-678c-3fbb-b0d1-342a56033f14</guid>
                                    <description><![CDATA[<p>Exploring insights from Demand Sphere CEO Ray Grieselhuber on the Get Discovered Podcast regarding how autonomous AI agents, Retrieval-Augmented Generation (RAG) layers, and the decoupling of search impressions from traffic are redefining online brand visibility.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Exploring insights from Demand Sphere CEO Ray Grieselhuber on the <em>Get Discovered Podcast</em> regarding how autonomous AI agents, Retrieval-Augmented Generation (RAG) layers, and the decoupling of search impressions from traffic are redefining online brand visibility.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/6rzuabn2gffmxpm5/Engineering_Websites_for_AI_Agents.mp3" length="23805516" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Exploring insights from Demand Sphere CEO Ray Grieselhuber on the Get Discovered Podcast regarding how autonomous AI agents, Retrieval-Augmented Generation (RAG) layers, and the decoupling of search impressions from traffic are redefining online brand visibility.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1272</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Finding True Signals in Business &amp; Economic Data</title>
        <itunes:title>Finding True Signals in Business &amp; Economic Data</itunes:title>
        <link>https://TureSignal.podbean.com/e/finding-true-signals-in-business-economic-data/</link>
                    <comments>https://TureSignal.podbean.com/e/finding-true-signals-in-business-economic-data/#comments</comments>        <pubDate>Thu, 05 Nov 2026 20:22:52 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/46a8cf1e-ac4b-3e19-b570-ef9fa594c807</guid>
                                    <description><![CDATA[<p>Insights from Zynga founder Mark Pincus and economist Danielle DiMartino Booth on filtering true signal from noise in product-market fit, venture capital, macroeconomic metrics, and market indices.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Insights from Zynga founder Mark Pincus and economist Danielle DiMartino Booth on filtering true signal from noise in product-market fit, venture capital, macroeconomic metrics, and market indices.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/evpj878dmyzz5bz9/Why_Fed_Data_and_Startup_Metrics_Lie.mp3" length="22935019" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Insights from Zynga founder Mark Pincus and economist Danielle DiMartino Booth on filtering true signal from noise in product-market fit, venture capital, macroeconomic metrics, and market indices.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1433</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Neural Decoding And Brain-Computer Interfaces</title>
        <itunes:title>Neural Decoding And Brain-Computer Interfaces</itunes:title>
        <link>https://TureSignal.podbean.com/e/neural-decoding-and-brain-computer-interfaces/</link>
                    <comments>https://TureSignal.podbean.com/e/neural-decoding-and-brain-computer-interfaces/#comments</comments>        <pubDate>Thu, 05 Nov 2026 20:15:23 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/ba73298b-d3bd-30cb-aea3-2866462b9226</guid>
                                    <description><![CDATA[<p>A deep dive into Dr. Phil Kennedy's pioneering brain-computer interface research. Discover how self-implanted neural recording devices decode single-neuron signals to restore silent-speech communication for paralyzed patients.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>A deep dive into Dr. Phil Kennedy's pioneering brain-computer interface research. Discover how self-implanted neural recording devices decode single-neuron signals to restore silent-speech communication for paralyzed patients.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8i66xgm7pi8da3ug/The_Neurosurgeon_Who_Implanted_His_Own_Brain.mp3" length="21463802" type="audio/mpeg"/>
        <itunes:summary><![CDATA[A deep dive into Dr. Phil Kennedy's pioneering brain-computer interface research. Discover how self-implanted neural recording devices decode single-neuron signals to restore silent-speech communication for paralyzed patients.]]></itunes:summary>
        <itunes:author>TureSignal’s Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1341</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Telecom Signal Monetization And Privacy Compliant AdTech</title>
        <itunes:title>Telecom Signal Monetization And Privacy Compliant AdTech</itunes:title>
        <link>https://TureSignal.podbean.com/e/telecom-signal-monetization-privacy-compliant-adtech/</link>
                    <comments>https://TureSignal.podbean.com/e/telecom-signal-monetization-privacy-compliant-adtech/#comments</comments>        <pubDate>Mon, 02 Nov 2026 10:53:14 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/a9026d9d-b4bb-373f-b2e0-59e9f3c33886</guid>
                                    <description><![CDATA[<p>Analyzing VOX Solutions' TrueSignal platform for telecommunications operators. Discover how telcos convert real-time network signaling data into secure, privacy-compliant ad technology revenue without compromising user data privacy.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Analyzing VOX Solutions' TrueSignal platform for telecommunications operators. Discover how telcos convert real-time network signaling data into secure, privacy-compliant ad technology revenue without compromising user data privacy.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/6fgcg8m3qfxgi8m7/How_Telcos_Monetize_Signals_Without_Sacrificing_Privacy.mp3" length="25589368" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Analyzing VOX Solutions' TrueSignal platform for telecommunications operators. Discover how telcos convert real-time network signaling data into secure, privacy-compliant ad technology revenue without compromising user data privacy.]]></itunes:summary>
        <itunes:author>Ture Signal Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1360</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Low-Dose Medical Imaging Imaging And The Stellar Detector</title>
        <itunes:title>Low-Dose Medical Imaging Imaging And The Stellar Detector</itunes:title>
        <link>https://TureSignal.podbean.com/e/low-dose-medical-imaging-imaging-the-stellar-detector/</link>
                    <comments>https://TureSignal.podbean.com/e/low-dose-medical-imaging-imaging-the-stellar-detector/#comments</comments>        <pubDate>Mon, 02 Nov 2026 10:39:03 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/d24a2787-51a8-3404-9b5f-76134a09911b</guid>
                                    <description><![CDATA[<p>Exploring Siemens Healthineers breakthrough low-dose CT innovations. Learn how the SOMATOM CT platform and FDA-cleared Stellar Detector lower radiation exposure while suppressing electronic noise to deliver ultra-high-resolution diagnostic images.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Exploring Siemens Healthineers breakthrough low-dose CT innovations. Learn how the SOMATOM CT platform and FDA-cleared Stellar Detector lower radiation exposure while suppressing electronic noise to deliver ultra-high-resolution diagnostic images.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n788bxm5bpfagag3/How_Stellar_Detectors_Cut_CT_Radiation.mp3" length="25860745" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Exploring Siemens Healthineers breakthrough low-dose CT innovations. Learn how the SOMATOM CT platform and FDA-cleared Stellar Detector lower radiation exposure while suppressing electronic noise to deliver ultra-high-resolution diagnostic images.]]></itunes:summary>
        <itunes:author>Ture Signal Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1377</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Artificial Intelligence Optimization And Trust Records</title>
        <itunes:title>Artificial Intelligence Optimization And Trust Records</itunes:title>
        <link>https://TureSignal.podbean.com/e/artificial-intelligence-optimization-amp-trustrecords/</link>
                    <comments>https://TureSignal.podbean.com/e/artificial-intelligence-optimization-amp-trustrecords/#comments</comments>        <pubDate>Mon, 02 Nov 2026 10:24:11 -0800</pubDate>
        <guid isPermaLink="false">TureSignal.podbean.com/bbd545cc-047f-3d6d-9ab4-ec144808f506</guid>
                                    <description><![CDATA[<p>An in-depth discussion on how Generative AI search engines (ChatGPT, Gemini, Perplexity) change digital discoverability. Executive Dana Lampert explains Artificial Intelligence Optimization (AIO) and how TrustRecords ensure authoritative organizational data is accurately surfaced by AI models.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>An in-depth discussion on how Generative AI search engines (ChatGPT, Gemini, Perplexity) change digital discoverability. Executive Dana Lampert explains Artificial Intelligence Optimization (AIO) and how TrustRecords ensure authoritative organizational data is accurately surfaced by AI models.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zhuv6wp84nnu3i9p/Why_AI_Search_Demands_Verifiable_Proof.mp3" length="20841879" type="audio/mpeg"/>
        <itunes:summary><![CDATA[An in-depth discussion on how Generative AI search engines (ChatGPT, Gemini, Perplexity) change digital discoverability. Executive Dana Lampert explains Artificial Intelligence Optimization (AIO) and how TrustRecords ensure authoritative organizational data is accurately surfaced by AI models.]]></itunes:summary>
        <itunes:author>Ture Signal Team</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1302</itunes:duration>
        <itunes:season>1</itunes:season>
        <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
</channel>
</rss>
